Evidence map›Paper›PMID 39805015›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Codon bias, nucleotide selection, and genome size predict in situ bacterial growth rate and transcription in rewetted soil.

Peter F Chuckran, Katerina Estera-Molina, Alexa M Nicolas, Ella T Sieradzki, Paul Dijkstra, Mary K Firestone, Jennifer Pett-Ridge, Steven J Blazewicz

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  9. A genomic view of Earth's biomes.Nature reviews. Genetics · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Peter F ChuckranDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720.ORCID 0000-0001-8015-0479
Katerina Estera-MolinaDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720.
Alexa M NicolasDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720.ORCID 0000-0003-3466-1504
Ella T SieradzkiDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720.ORCID 0000-0001-7174-3010
Paul DijkstraDepartment of Biological Sciences, Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011.ORCID 0000-0002-4483-0116
Mary K FirestoneDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, CA 94720.
Jennifer Pett-RidgePhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550.
Steven J BlazewiczPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550.

Funding

U.S. Department of Energy (DOE) DE-SC0016247U.S. Department of Energy (DOE) DE-SC0020163U.S. Department of Energy (DOE) SCW1421U.S. Department of Energy (DOE) SCW1589U.S. Department of Energy (DOE) SCW1632
6 · The paper itself

Abstract

In soils, the first rain after a prolonged dry period represents a major pulse event impacting soil microbial community function, yet we lack a full understanding of the genomic traits associated with the microbial response to rewetting. Genomic traits such as codon usage bias and genome size have been linked to bacterial growth in soils-however, often through measurements in culture. Here, we used metagenome-assembled genomes (MAGs) with

Indexed as

BacteriaCodonCodon UsageGenome, BacterialGenome SizeNucleotidesSoil MicrobiologyMetagenomeRibosomal ProteinsSoilTranscription, GeneticCodonNucleotidesRibosomal ProteinsSoilcodon biasmetagenomicsmetatranscriptomicsqSIPsoil

Identifiers

PMID39805015
PMCPMC11761963

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.